# Weibo user recommended timeline

Get recommended timeline content from Weibo homepage, displaying personalized recommendations based on user interests. Takes refresh, group id, containerid and more, all optional. Served by TikHub.

Purpose:
- Get recommended timeline content from Weibo homepage, displaying personalized recommendations based on user interests.
Parameters:
- refresh: Refresh type (0=normal refresh, 1=force refresh)
- group_id: Group ID (can be obtained through fetch_all_groups)
- containerid: Container ID (usually same as group_id)
- extparam: Extended parameters (default "discover|new_feed")
- max_id: Pagination cursor, pass "0" for first request
- count: Count (default 10, suggested 5-20)
Return:
- Recommended post list, including post content, author info, interaction data
- Contains max_id field for pagination
Note:
- Recommend calling fetch_all_groups first to get available groups

- Tool ID: `tikhub/weibo-web-v2-fetch-user-recommend-timeline`
- Name in the catalog: Weibo, Get user recommend timeline
- Provider: [TikHub](/providers/tikhub.md)
- Capability: [Weibo profiles](/tools/weibo/profiles.md)
- Price: $0.001 per call
- Authentication: an authorised Agentik workspace is required for execution, including zero-price tools.

## Pricing contract

The provider’s price, with no markup. Billed for measured usage.


```json
{
  "model": "per_call",
  "amountUsd": 0.001
}
```

Pricing source: [https://api.tikhub.io/api/v1/tikhub/user/get_all_endpoints_info](https://api.tikhub.io/api/v1/tikhub/user/get_all_endpoints_info). Official per-success route price USD 0.001; daily upstream discounts may reduce provider cost. No discount invented for the customer. 10/second.

Price verification date: 2026-10-05.

## Complete input schema


```json
{
  "type": "object",
  "properties": {
    "refresh": {
      "type": "integer",
      "description": "刷新类型，0=正常刷新，1=强制刷新/Refresh type, 0=normal refresh, 1=force refresh",
      "default": 0,
      "title": "Refresh"
    },
    "group_id": {
      "type": "string",
      "description": "分组ID/Group ID",
      "default": "102803",
      "title": "Group Id"
    },
    "containerid": {
      "type": "string",
      "description": "容器ID/Container ID",
      "default": "102803",
      "title": "Containerid"
    },
    "extparam": {
      "type": "string",
      "description": "扩展参数/Extended parameters",
      "default": "discover|new_feed",
      "title": "Extparam"
    },
    "max_id": {
      "type": "string",
      "description": "最大ID/Max ID",
      "default": "0",
      "title": "Max Id"
    },
    "count": {
      "type": "integer",
      "description": "获取数量/Count",
      "default": 10,
      "title": "Count"
    }
  },
  "additionalProperties": false
}
```

## Published example

This is the provider tool’s published example. Replace example values with the user’s requested inputs, respecting the schema; do not execute an example merely to test a connection.


```json
{
  "tool_id": "tikhub/weibo-web-v2-fetch-user-recommend-timeline",
  "input": {
    "refresh": 0,
    "group_id": "102803",
    "containerid": "102803",
    "extparam": "discover|new_feed",
    "max_id": "0",
    "count": 10
  }
}
```

## Execute and retrieve

Inspect again before execution, explain the price and obtain the required authority. Use MCP run_tool or POST /v1/run with this tool ID, valid input and an idempotency key. Save the returned run ID and follow the actual state. If Agentik answers that the tool is temporarily unavailable, do not retry it blindly; use discovery to propose an alternative.

A partial or uncertain result can still have consumed provider resources. Consult [billing](/docs/billing.md), [idempotency](/docs/idempotency.md) and [asynchronous results](/docs/async.md).

[Provider documentation](https://api.tikhub.io/#/Weibo-Web-V2-API/fetch_user_recommend_timeline_api_v1_weibo_web_v2_fetch_user_recommend_timeline_get)

[REST inspection](https://api.agentik.cc/v1/tools/tikhub/weibo-web-v2-fetch-user-recommend-timeline) · [OpenAPI](/openapi.json) · [Connection guide](/connect.md)

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[HTML page](/providers/tikhub/weibo-web-v2-fetch-user-recommend-timeline) · [Agent index](/llms.txt)